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Machine Learning Manager Jobs in Houston, TX (NOW HIRING)

As an ML Ops Engineer within Corporate Sector in Cybersecurity & Tech Controls team, you will deploy, monitor, and manage machine learning models in production environments using the latest ...

Sr. Software Engineer

Spring, TX ยท On-site

$112K - $148K/yr

... management of machine learning models and data products. This role is expected to participate and lead communication with business customers as well as cross-functional IT staff, to support business ...

Work you'll do As a Manager, Oracle AI on the AI & Engineering team, you will be responsible for ... Architect AI and machine learning solutions using Oracle Cloud Infrastructure, Oracle AI Services ...

AI Solutions Architect

Houston, TX

$60.25 - $79.25/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

AI Data Engineer - Manager

Houston, TX

$109K - $131K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer ... Risk Management and Ethical Considerations * Work closely with security and risk leaders to foresee ...

As a Manager, you will enhance your leadership style by motivating, developing, and inspiring ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Lead Business Transformation Architect

Houston, TX ยท On-site

$52.75 - $72.25/hr

In this role, you will be responsible for designing and implementing artificial intelligence and machine learning solutions, as well as managing cloud infrastructure to enhance customer experiences ...

CTIO AI Engineering Manager

Houston, TX ยท On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Senior AI Engineer

Houston, TX ยท On-site

$99K - $137K/yr

... AI and machine learning models to solve complex business problems across diverse domains. * Collaborate with cross-functional teams, including data scientists, product managers, and software ...

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Our solutions are also vital for companies developing energy products or managing energy assets ...

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Our solutions are also vital for companies developing energy products or managing energy assets ...

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Our solutions are also vital for companies developing energy products or managing energy assets ...

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Machine Learning Manager information

See Houston, TX salary details

$48.7K

$78K

$112.7K

How much do machine learning manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning manager in Houston, TX is $78,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $88,300.00 per year, depending on experience, location, and employer.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Houston, TX? The most popular types of Machine Learning jobs in Houston, TX are:
What job categories do people searching Machine Learning Manager jobs in Houston, TX look for? The top searched job categories for Machine Learning Manager jobs in Houston, TX are:
What cities near Houston, TX are hiring for Machine Learning Manager jobs? Cities near Houston, TX with the most Machine Learning Manager job openings:

Software Engineer, Machine Learning Infrastructure

Bot Auto

Houston, TX โ€ข On-site

$165K - $195K/yr

Full-time

Posted 17 hours ago


Job description

Job Summary:
Bot Auto is revolutionizing the transportation of goods with cutting-edge autonomous trucks. They are seeking a highly skilled Software Engineer to design, develop, and scale machine learning infrastructure, focusing on model evaluation, training workflows, and data management.
Responsibilities:
โ€ข Architect and own a scalable, end-to-end model evaluation platform for perception and prediction models central to autonomous driving. Define metrics, design for scale, and make results actionable for researchers.
โ€ข Partner with research scientists to optimize and scale distributed training workflows. Integrate experiment tracking and reproducibility into the model lifecycle from day one.
โ€ข Design and maintain a versioned, high-quality training data store that accelerates model development and supports rapid iteration.
โ€ข Build automated pipelines spanning data preparation, model training, validation, and deployment โ€” enabling fast experimentation and reproducible outcomes.
โ€ข Contribute to tooling and infrastructure that powers high-throughput, high-accuracy data annotation at scale.
โ€ข Develop production ML services that treat models as products โ€” with reliability, observability, and continuous improvement built in.
โ€ข Maintain and evolve a robust data storage and access layer (S3 data lake, Delta Lake) underpinning annotation, evaluation, and training workflows.
โ€ข Build scalable, reliable data collection pipelines supporting diverse vehicle dispatch missions.
โ€ข Develop foundational services and packages that provide clean, performant access to autonomous driving data across the stack.
Qualifications:
Required:
โ€ข Educational Background: Bachelor's or Master's in Computer Science, or equivalent practical experience.
โ€ข Strong Programming Skills: Strong proficiency in Python; working knowledge of C++
โ€ข ML/DL Infrastructure Experience โ€” Demonstrated hands-on experience building or scaling at least one of the following in a production environment: Evaluation platforms โ€” automated model benchmarking, metric computation, and regression tracking across model versions. Training infrastructure โ€” distributed training pipelines, experiment tracking, and model lifecycle management (e.g. W&B, MLflow, ClearML). Dataset curation & feature stores โ€” versioned dataset management, data lineage, and tooling for high-quality training data at scale. Annotation platforms โ€” tooling or pipelines that support high-throughput, high-accuracy labeling workflows.
โ€ข Distributed Systems โ€” Strong experience with distributed computing and container orchestration โ€” Kubernetes, Spark, or comparable frameworks.
โ€ข Ability to operate independently: scope ambiguous problems, make sound architecture decisions, and drive them to completion.
Preferred:
โ€ข C++ experience in performance-sensitive or safety-critical applications
โ€ข Full-stack service development experience.
โ€ข Prior work in autonomous driving or robotics.
Company:
Transforming American Transportation with Autonomous Trucks Founded in 2023, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.